Examinations Admissions Equivalence of Degree

Affiliation E-learning

B.sc. (data Sciences)

Programme Degree Programme in B.sc. (data Sciences)

The school of  Sciences and Emerging Technologies of Jagat Guru Nanak Dev Punjab State Open University, Patiala has started Bachelor of Science (Data Science) from the session 2020-21. The university has adopted choice-based credit system which has been introduced by University Grant Commission (UGC). This is a broad-based programme covering disciplinary, interdisciplinary and skill-based subjects. It provides flexibility for the learners to choose the subjects of their interest and also has the opportunity to grow with present digital era. The Bachelor of Science (Data Science) has 132 credits consisting of 4 categories namely Core Courses, Discipline Specific Electives, Ability Enhancement Compulsory Course and Skill Enhancement Courses. This 3-year course is of 6 semesters and each semester consists of 4 papers.


Having passed 10+2 in any Stream or its equivalent examination with Mathematics or Statistics or Computer Science or Economics as one of the Courses in the 10+2 Level from a recognized Board. Learners who have not been taught Mathematics or Statistics or Computer Science or Economics as one of the Courses in the 10+2 Level, they may be admitted in BSc (Data Science) Programme, but they pass a Bridge Course (4-Credits). 

Eligibility Criteria of Lateral Entry:

 (Lateral Entry) in 2nd Year Having passed 3 Years Diploma from Punjab State Board of Technical Education & Industrial Training, Chandigarh or such examination from any other recognized State Board of Technical Education
 


 

Total Credits: 132 Min-Duration : 3 Years | Max-Duration : 6 Years
Sr. No. Name of the Course Course Code Credit SM Syllabus
Semester 1
1 Problem Solving using Computer BSDB31101T 4 - View
2 Fundamental of IT BSDB31102T 4 - View
3 Introduction Data Science BSDB31103T 4 - View
4 Problem Solving using Computer Lab BSDB31101P 2 - View
5 Fundamental of IT Lab BSDB31102P 2 - View
6 Introduction Data Science Lab BSDB31103P 2 - View
7 Effective Communication in English AE1B31104T 4 - View
8 Sikh Heritage and Ethos* SHAE31108T 0 - -
Semester 2
1 Operating System BSDB31201T 4 - View
2 Statistical Foundation BSDB31202T 4 - View
3 Introduction to Logic BSDB31203T 4 - View
4 Operating System Lab BSDB31201P 2 - View
5 Statistical Foundation Lab BSDB31202P 2 - View
6 Introduction to Logic Lab BSDB31203P 2 - View
7 Environmental Studies AE2B31204T 4 - View
Semester 3
1 Database Management Systems BSDB32301T 4 - View
2 Data Mining and Visualization BSDB32302T 4 - View
3 Data Preparation BSDB32303T 4 - View
4 Mathematical Foundation for DS BSDB32304T 4 - View
5 Database Management Systems Lab BSDB32301P 2 - View
6 Data Mining and Visualization Lab BSDB32302P 2 - View
7 Data Preparation Lab BSDB32303P 2 - View
Semester 4
1 Computer System Architecture BSDB32401T 4 - View
2 Data Communication and Networks BSDB32402T 4 - View
3 Machine Learning BSDB32403T 4 - View
4 Introduction to Analytics and AI BSDB32404T 4 - View
5 Computer System Architecture Lab BSDB32401P 2 - View
6 Data Communication and Networks Lab BSDB32402P 2 - View
7 Machine Learning Lab BSDB32403P 2 - View
Semester 5
1 Introduction to Deep Learning BSDB33501T 4 - View
2 Big Data Management BSDB33502T 4 - View
3 Software Project Management BSDB33503T 4 - View
4 Social Network Analysis BSDB33504T 4 - View
5 Introduction to Deep Learning Lab BSDB33501P 2 - View
6 Big Data Management Lab BSDB33502P 2 - View
7 Software Project Management Lab BSDB33503P 2 - View
Semester 6
1 e-Platforms for ML BSDB33601T 4 - View
2 Applications of Data Science BSDB33602T 4 - View
3 Technical Report Writing BSDB33603T 4 - View
4 Applications of Data Science Lab BSDB33602P 2 - View
5 Technical Report Writing Lab BSDB33603P 2 - View
6 Project BSDB33604P 6 - View

Continuous Internal Assessment (30%)

  1. Two assignments for a 3 or 4-credit course.
  2. Three for a 6-credit course.
  3. Pass Percentage : Atleast 30%  in each  assignment.
  • End Semester Exam (70%)
  • Pass Percentage: Atleast 30% marks in semester end examinations.
  1. Atleast 35% marks in both continuous evaluations as well as in semester end examinations separately.
  2. Overall, at least 40% marks in each course.

Successfully completing Third year of B.Sc (Data Science) Programme and earning 132 credits of Programme, Student will be awarded degree  of B.Sc (Data Science).

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